In: Statistics and Probability
In the USA, a Flexible Savings Account (FSA) plan allows you to put money into an account at the beginning of the calendar year that can be used for medical expenses. This amount is not subject to federal tax. As you pay medical expenses during the year, you are reimbursed by the administrator of the FSA until the money is exhausted. From that point on, you must pay your medical expenses out of your own pocket. On the other hand, if you put more money into your FSA than the medical expenses you incur, this extra money is lost to you. Your annual salary is $80,000 and your federal income tax rate is 30%.
a) Assume that your
medical expenses in a year are normally distributed with mean $2000
and standard deviation $500. Using @RISK build a model in which the
output is the amount of money left to you after paying taxes,
putting money in an FSA, and paying any extra medical expenses.
Experiment with the amount of money put in the FSA, using an
appropriate @RISK function.
b) Rework part a, but this time assume a gamma distribution for
your annual medical expenses. Use 16 and 125 as the two parameters
of this distribution. These imply the same mean and standard
deviation as in part a, but the distribution of medical expenses is
now skewed to the right, which is probably more realistic. Using
simulation, see whether you should now put more or less money in an
FSA than in the symmetric case in part a.